Travis Mandel

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 4 papers; trusts 22 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Travis Mandel trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Richard S. Sutton
  2. Mark Gross
  3. Michael L. Littman
  4. Leonid Peshkin
  5. Yoshua Bengio
  6. G. Mikhalkin
  7. D. Abramovich
  8. Lihong Li
  9. Doina Precup
  10. Sergey Levine

Who trusts Travis Mandel overall

  1. Philip S. Thomas
  2. Romain Laroche
  3. Nathan Kallus
  4. Nan Jiang
  5. Dhruv Ranganathan
  6. Emma Brunskill
  7. Ruosong Wang
  8. Josiah P. Hanna
  9. Thiago D. Simão
  10. Lihong Li

Papers from Travis Mandel's perspective

Ordered by how strongly the researchers Travis Mandel trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Reinforcement Learning: An Introduction
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers